DOC Fix default value in RandomizedLasso (scikit-learn#8455)

MarcoFalke · Isaac Laughlin · commit aef296dcf596 · 2021-01-06T03:14:57.000Z
diff --git a/sklearn/linear_model/randomized_l1.py b/sklearn/linear_model/randomized_l1.py
@@ -213,7 +213,7 @@ class RandomizedLasso(BaseRandomizedLinearModel):
     verbose : boolean or integer, optional
         Sets the verbosity amount
 
-    normalize : boolean, optional, default False
+    normalize : boolean, optional, default True
         If True, the regressors X will be normalized before regression.
         This parameter is ignored when `fit_intercept` is set to False.
         When the regressors are normalized, note that this makes the
